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sl-bigquery-mcp

github.comInfrastructure

PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 26 Jun 2026. How this is checked

sl-bigquery-mcp is an open-source Python package that implements a Model Context Protocol (MCP) server for accessing Google BigQuery. It allows developers to integrate BigQuery data access into their MCP-compatible workflows and tools. Suitable for developers needing programmatic BigQuery access.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
sl-bigquery-mcp preview
Visit github.com
10stars
1fork
5features
2025since

Overview

5 features

Purpose: Enabling developers to access and manage BigQuery data via the Model Context Protocol (MCP).

Inferred · not functionally tested

Audience: Python developers working with BigQuery and MCP integrations

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

sl-bigquery-mcp is a Data integration & ETL project. Inferred · not functionally tested: Enabling developers to access and manage BigQuery data via the Model Context Protocol (MCP). Inferred · not functionally tested: It is built as an open-source project for python developers working with BigQuery and MCP integrations. Basis unknown · not verified: sl-bigquery-mcp is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

SnowLeopard-AI builds and maintains sl-bigquery-mcp, and it first shipped in 2025. The project is developed in the open on GitHub with 10 stars. Inferred · not functionally tested: Key capabilities include bigQuery access, MCP server, and python package. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • BigQuery access
  • MCP server
  • Python package
  • MIT license
  • Command-line interface

Topics: Inferred · not functionally tested

Tags
bigquery-integrationmcp-serverpython-library

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 10

Indexing history

What PulseGate has recorded for this listing

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Frequently asked questions about sl-bigquery-mcp

What does sl-bigquery-mcp do?
Inferred · not functionally tested: Enabling developers to access and manage BigQuery data via the Model Context Protocol (MCP). It is catalogued under Data integration & ETL on PulseGate.
Who is sl-bigquery-mcp for?
Inferred · not functionally tested: sl-bigquery-mcp is an open-source project built for python developers working with BigQuery and MCP integrations.
Is sl-bigquery-mcp free?
Basis unknown · not verified: Yes — sl-bigquery-mcp is open source under the MIT license and free to use.
What platforms does sl-bigquery-mcp run on?
Basis unknown · not verified: sl-bigquery-mcp runs on the command line. It can also be self-hosted.
Is sl-bigquery-mcp still active?
PulseGate's liveness check found it on 13 Sep 2026.
What are alternatives to sl-bigquery-mcp?
Similar projects tracked by PulseGate include BigQuery MCP, sql-query-mcp, and mcp-postgres-server.BigQuery MCPsql-query-mcpmcp-postgres-server
Who makes sl-bigquery-mcp?
sl-bigquery-mcp is developed by SnowLeopard-AI.
When did sl-bigquery-mcp launch?
sl-bigquery-mcp first shipped in 2025.

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